Nearly any type of image can be “processed”, but the term is typically applied to digital imagery. Regardless of format, there are general processing techniques, which can be used to improve an image. Producing an original image through an input is known as imaging, while procedures applied for enhancement are referred to as image processing.
Image processing can be either digital or analog. Digital image processing involves applying algorithms to complete the processing of the image. Digital image processing is a sub-category of a larger field, called digital signal processing (DSP), and is more useful than analog processing for many reasons. These include allowing a wider array of algorithms to be employed for processing the data from the input. Digital image processing can also help provide a remedy for common image processing problems, including signal distortion and noise accumulation. Because the input images can be defined using more than two dimensions, digital image processing may also be employed to render a multidimensional model from a two-dimensional image.